• DocumentCode
    1882031
  • Title

    Quantitative measures of molecular similarity [drug design]

  • Author

    Arteca, Gustavo A. ; Mezey, Paul G.

  • Author_Institution
    Dept. of Chem., Saskatchewan Univ., Saskatoon, Sask., Canada
  • fYear
    1989
  • fDate
    9-12 Nov 1989
  • Firstpage
    1907
  • Abstract
    The development and application of reliable computational methods for measuring molecular similarity are discussed. The procedure provides a quantitative expression of molecular shape. The general concepts underlying shape characterization are examined and results are provided regarding the study of fuzzy surfaces, such as those occurring in more realistic molecular models
  • Keywords
    macromolecular configurations; medical computing; molecular biophysics; drug design; fuzzy surfaces; molecular similarity; realistic molecular models; reliable computational methods; shape characterization; Application software; Atomic measurements; Character recognition; Chemistry; Computer applications; Drugs; Geometry; Performance evaluation; Quantum computing; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.96517
  • Filename
    96517